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• DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays

  Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian Molloy, Suresh Chari

  2016-03-02

• Learning Predictable and Discriminative Attributes for Visual Recognition

  Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang

  2015-03-04

• Kernelized Online Imbalanced Learning with Fixed Budgets

  Junjie Hu, Haiqin Yang, Irwin King, Michael Lyu, Anthony Man-Cho So

  2015-02-21

• Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds

  Hongyang Zhang, Zhouchen Lin, Chao Zhang, Edward Chang

  2015-02-21

• Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network

  Xiao Ding, Ting Liu, Junwen Duan, Jian-Yun Nie

  2015-02-19

• Lazier Than Lazy Greedy

  Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi, Jan Vondrak, Andreas Krause

  2015-02-18

• Stable Feature Selection from Brain sMRI

  Bo Xin, Lingjing Hu, Yizhou Wang, Wen Gao

  2015-02-18

• On Correcting Misspelled Queries in Email Search

  Abhijit Bhole, Raghavendra Udupa

  2015-03-04

• World WordNet Database Structure: An Efficient Schema for Storing Information of WordNets of the World

  Hanumant Redkar, Sudha Bhingardive, Diptesh Kanojia, Pushpak Bhattacharyya

  2015-03-04

• Energy Usage Behavior Modeling in Energy Disaggregation via Marked Hawkes Process

  Liangda Li, Hongyuan Zha

  2015-02-10

• Linear-Time Filtering Algorithms for the Disjunctive Constraint

  Hamed Fahimi, Claude-Guy Quimper

  2014-06-21

• Recovering from Selection Bias in Causal and Statistical Inference

  Elias Bareinboim, Jin Tian, Judea Pearl

  2014-06-21

• Robust Non-Negative Dictionary Learning

  Qihe Pan, Deguang Kong, Chris Ding, Bin Luo

  2014-06-21

• Fast Multi-Instance Multi-Label Learning

  Sheng-Jun Huang, Wei Gao, Zhi-Hua Zhou

  2014-06-21

• Contextually Supervised Source Separation with Application to Energy Disaggregation

  Matt Wytock, J. Kolter

  2014-06-20

• Multiscale Manifold Learning

  Chang Wang, Sridhar Mahadevan

  912-918

  2013-06-30

• Hierarchical Double Dirichlet Process Mixture of Gaussian Processes

  Aditya Tayal, Pascal Poupart, Yuying Li

  1126-1133

  2021-09-20

• Double-Bit Quantization for Hashing

  Weihao Kong, Wu-Jun Li

  634-640

  2021-09-20

• A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring

  James Faghmous, Yashu Chamber, Shyam Boriah, Frode Vikebø, Stefan Liess, Michel dos Santos Mesquita, Vipin Kumar

  281-287

  2021-09-20

• Non-Intrusive Load Monitoring Using Prior Models of General Appliance Types

  Oliver Parson, Siddhartha Ghosh, Mark Weal, Alex Rogers

  356-362

  2021-09-20

• Discovering Constraints for Inductive Process Modeling

  Ljupco Todorovski, Will Bridewell, Pat Langley

  256-262

  2021-09-20

• Using Conditional Random Fields to Exploit Token Structure and Labels for Accurate Semantic Annotation

  Aman Goel, Craig Knoblock, Kristina Lerman

  1784-1785

  2011-08-04

• Mean Field Inference in Dependency Networks: An Empirical Study

  Daniel Lowd, Arash Shamaei

  404-410

  2011-08-04

• Multi-Task Learning in Heterogeneous Feature Spaces

  Yu Zhang, Dit-Yan Yeung

  574-579

  2011-08-04

• A Large-Scale Study on Predicting and Contextualizing Building Energy Usage

  J. Kolter, Joseph Ferreira

  1349-1356

  2011-08-04